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A Market Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa

A Market Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa Wednesday 20 June 2012 16.25 – 16.50 Parallel Session 2: ‘Promoting Renewables ’ John Fay & Umesh Kumar (SUNY Canton) University of Cape Town – Graduate School of Business.

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A Market Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa

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  1. A Market Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa Wednesday 20 June 2012 16.25 – 16.50 Parallel Session 2: ‘Promoting Renewables’ John Fay & Umesh Kumar (SUNY Canton) University of Cape Town – Graduate School of Business IEW 2012

  2. Need for Alternative Energy Sources • At present, renewable energy is relatively expensive in comparison to traditional fossil fuel based energy sources • Financial incentives are required to pilot and implement renewable energy technologies, such as solar and wind • Effective incentives must fully recognize the underlying local financial drivers IEW 2012

  3. Cost Effectiveness of Alternative Sources • Innovative Financing Mechanisms, are being deployed to entice Independent Power Producers (IPPs) at the national level (Price vs. Demand options) • Internationally, Kyoto Protocol’s Clean Development Mechanism (CDM)and voluntary carbon markets provide incentives to use alternative source of energy in “Developing Countries” IEW 2012

  4. A Case of South Africa - Discount Rate for Project Evaluations • SA has tremendous potential for alternative energy and increasing electricity demand • Residential pricing per Kwh in SA is 0.52 ZAR ($0.074) in 2011 – increasing 16% in 2012 to 0.61 ZAR • 2009 SA REFIT wind pricing at 1.25 ZAR ($0.18), changed to competitive bidding- first window 1.14 ZAR (December 2011); second window 0.89 ZAR (March 2012) • Key assumption is Real Return on Equity for renewable energy projects deemed to be 17% IEW 2012

  5. A New Framework to Determine Benchmark IRR • Arbitrary choice of discount rate for project evaluations may hinder the development of a robust market • So, the question we are asking is how to determine optimal level of financial returns for new projects • Approach: A index model to make a fair estimate of the required discount rate using financial markets observation IEW 2012

  6. International Scenario – Project Evaluations • Internationally, projects have primarily used capital asset pricing model (CAPM) model or extensions of the CAPM to estimate the IRR • The CAPM provides investors with useful and influential concepts for thinking about return on investments. • The risk premium is determined by the country risk, liquidity risk, technology risk, equity risk, size risk, firm-specific risk and combination of these risks IEW 2012

  7. Proposed Model for New Project Evaluation • The proposed model is an index based model • Derives the rate of return on a broad index of securities which is a valid proxy for the common macroeconomic factors of the country • Provides the cumulative assessment of investors about their expected return • Practitioners routinely estimate the index model using total returns to estimate expected return IEW 2012

  8. Index Based Market Model • Financing for a renewable energy project can be fully equity based or a mix of debt and equity capital • The nature of returns for a project differs from debt holders versus equity holders • Investors look for a risk premium on equity investment IEW 2012

  9. Index Based Market Model • E(Re) = YTM on a Long Term Bond Index + Equity Risk Premium + New Industry Risk Premium • The above equation is the bond yield plus risk premium method of estimating the expected return on equity IEW 2012

  10. Index Based Market Model • The interest rate indices traded on the JSE are reported on July 01, 2011, includes all bond index, government bond index, and other bond index IEW 2012

  11. Indexed Based Market Model “The Equity Premium and Risk-free Rate Puzzles in a Turbulent Economy: Evidence from 105 Years of Data from South Africa by Shakil Hassan and Andrew Van Biljon, South African Journal of Economics Vol. 78:1 March 2010”. IEW 2012

  12. Indexed Based Market Model • Ibbotson Associates full-information beta estimation process* computes industry risk premium as presented in equation: IRPi = (RIix ERP) – ERP • As of June 30, 2011 fund report, the beta of the PowersharesWilderHill Clean Energy fund relative to the S&P 500 is 1.59 • New Industry Risk Premium = (RI x ERP) – ERP • = (1.59 x 7.29%) - 7.29% • = 4.30% • *Barad, M. and McDowell, T. (2002) Capturing industry risk beta in a buildup model. Ibbotson Associates, Chicago. IEW 2012

  13. Benchmark IRR Based on Market Model • E(Re) = YTM on Non-Sovereign Bond Index + 10 Year Equity Risk Premium + New Industry Risk Premium 22.23% = 10.64% + 7.29% + 4.30% • An equity investor will expect at least 22.23% return from a renewable project in South Africa IEW 2012

  14. Summary • The proposed index model is parsimonious and it captures the common macroeconomic factors • As the equity premium and bond yield are the index data, they increase the reliability of the estimation • Market data shows the enduring economic relationships between elements of the real economy • Using the index model, global or local investors can easily extrapolate the benchmark IRR. IEW 2012

  15. DISCUSSION John Fay (john.fay@gsb.uct.ac.za) & Umesh Kumar (kumaru@canton.edu)

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